利用gflags自定义标志的使用方法

1.首先需要安装gflags

sudo apt-get install gflags

2.自定义glags标志(customflags.hpp)

/*
// Copyright (c) 2018 Intel Corporation
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
//      http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
*////
#pragma once#include <string>
#include <cstdlib>
#include <vector>
#include <gflags/gflags.h>
#include <iostream>#ifdef _WIN32
#include <os/windows/w_dirent.h>
#else
#include <dirent.h>
#endifstd::string GetEnv( const std::string & var ) {const char * val = std::getenv( var.c_str() );if ( val == 0 ) {return "";}else {return val;}
}const std::string DEFAULT_PATH = GetEnv("INTEL_CVSDK_DIR");/// @brief message for help argument
static const char help_message[] = "Print a usage message.";/// @brief message for images argument
static const char video_message[] = "Optional. Path to an video file. Default value is \"cam\" to work with camera.";/// @brief message for model argument
static const char face_detection_model_message[] = "Required. Path to an .xml file with a trained face detection model.";
static const char age_gender_model_message[] = "Optional. Path to an .xml file with a trained age gender model.";
static const char head_pose_model_message[] = "Optional. Path to an .xml file with a trained head pose model.";
static const char emotions_model_message[] = "Optional. Path to an .xml file with a trained emotions model.";
static const char facial_landmarks_model_message[] = "Optional. Path to an .xml file with a trained facial landmarks model.";/// @brief message for plugin argument
static const char plugin_message[] = "Plugin name. For example MKLDNNPlugin. If this parameter is pointed, " \
"the demo will look for this plugin only.";/// @brief message for assigning face detection calculation to device
static const char target_device_message[] = "Specify the target device for Face Detection (CPU, GPU, FPGA, or MYRIAD). " \
"The demo will look for a suitable plugin for a specified device.";/// @brief message for assigning age gender calculation to device
static const char target_device_message_ag[] = "Specify the target device for Age Gender Detection (CPU, GPU, FPGA, or MYRIAD). " \
"The demo will look for a suitable plugin for a specified device.";/// @brief message for assigning head pose calculation to device
static const char target_device_message_hp[] = "Specify the target device for Head Pose Detection (CPU, GPU, FPGA, or MYRIAD). " \
"The demo will look for a suitable plugin for a specified device.";/// @brief message for assigning emotions calculation to device
static const char target_device_message_em[] = "Specify the target device for Emotions Detection (CPU, GPU, FPGA, or MYRIAD). " \
"The demo will look for a suitable plugin for a specified device.";/// @brief message for assigning facial landmarks calculation to device
static const char target_device_message_lm[] = "Specify the target device for Facial Landmarks Detection (CPU, GPU, FPGA, or MYRIAD). " \
"The demo will look for a suitable plugin for device specified.";/// @brief message for the maximum number of simultaneously processed faces for Age Gender net
static const char num_batch_ag_message[] = "Specify number of maximum simultaneously processed faces for Age Gender Detection (default is 16).";/// @brief message for the maximum number of simultaneously processed faces for Head Pose net
static const char num_batch_hp_message[] = "Specify number of maximum simultaneously processed faces for Head Pose Detection (default is 16).";/// @brief message for the maximum number of simultaneously processed faces for Emotions net
static const char num_batch_em_message[] = "Specify number of maximum simultaneously processed faces for Emotions Detection (default is 16).";/// @brief message for the maximum number of simultaneously processed faces for Facial Landmarks net
static const char num_batch_lm_message[] = "Specify number of maximum simultaneously processed faces for Facial Landmarks Detection (default is 16).";/// @brief message for dynamic batching support for AgeGender net
static const char dyn_batch_ag_message[] = "Enable dynamic batch size for AgeGender net.";/// @brief message for dynamic batching support for HeadPose net
static const char dyn_batch_hp_message[] = "Enable dynamic batch size for HeadPose net.";/// @brief message for dynamic batching support for Emotions net
static const char dyn_batch_em_message[] = "Enable dynamic batch size for Emotions net.";/// @brief message for dynamic batching support for Facial Landmarks net
static const char dyn_batch_lm_message[] = "Enable dynamic batch size for Facial Landmarks net.";/// @brief message for performance counters
static const char performance_counter_message[] = "Enables per-layer performance report.";/// @brief message for clDNN custom kernels desc
static const char custom_cldnn_message[] = "Required for clDNN (GPU)-targeted custom kernels. "\
"Absolute path to the xml file with the kernels desc.";/// @brief message for user library argument
static const char custom_cpu_library_message[] = "Required for MKLDNN (CPU)-targeted custom layers. " \
"Absolute path to a shared library with the kernels impl.";/// @brief message for probability threshold argument
static const char thresh_output_message[] = "Probability threshold for detections.";/// @brief message raw output flag
static const char raw_output_message[] = "Inference results as raw values.";/// @brief message no wait for keypress after input stream completed
static const char no_wait_for_keypress_message[] = "No wait for key press in the end.";/// @brief message no show processed video
static const char no_show_processed_video[] = "No show processed video.";/// @brief message for driver recognition mode
static const char drecog_message[] = "Enable driver recognition mode";/// @brief message for asynchronous mode
static const char async_message[] = "Enable asynchronous mode";// dlib facial landmarks detection
static const char dlib_lm_message[] = "Enable dlib's facial landmark detections";// camera cover detection
static const char cover_message[] = "Enable camera cover detection";/// \brief Define flag for showing help message <br>
DEFINE_bool(h, false, help_message);/// \brief Define parameter for set image file <br>
/// It is a required parameter
DEFINE_string(i, "cam", video_message);/// \brief Define parameter for face detection model file <br>
/// It is a required parameter
DEFINE_string(m, "", face_detection_model_message);/// \brief Define parameter for face detection  model file <br>
/// It is a required parameter
DEFINE_string(m_ag, "", age_gender_model_message);/// \brief Define parameter for face detection  model file <br>
/// It is a required parameter
DEFINE_string(m_hp, "", head_pose_model_message);/// \brief Define parameter for face detection model file <br>
/// It is a required parameter
DEFINE_string(m_em, "", emotions_model_message);/// \brief Define parameter for facial landmarks detection model file <br>
/// It is an optional parameter
std::string fp_lm = (INTEL_CVSDK_VER <= 5 ? DEFAULT_PATH + std::string("/deployment_tools/intel_models/landmarks-regression-retail-0009/FP32/landmarks-regression-retail-0009.xml") : DEFAULT_PATH + std::string("/deployment_tools/tools/model_downloader/Retail/object_attributes/landmarks_regression/0009/dldt/landmarks-regression-retail-0009.xml"));
DEFINE_string(m_lm, fp_lm, facial_landmarks_model_message);/// \brief Define parameter for facial landmarks detection model file <br>
/// It is an optional parameterstd::string fp_reid = ((INTEL_CVSDK_VER == 5) ? DEFAULT_PATH + std::string("/deployment_tools/intel_models/face-reidentification-retail-0095/FP32/face-reidentification-retail-0095.xml") : (INTEL_CVSDK_VER == 4 ) ? DEFAULT_PATH + std::string("/deployment_tools/intel_models/face-reidentification-retail-0071/FP32/face-reidentification-retail-0071.xml") : DEFAULT_PATH + std::string("/deployment_tools/tools/model_downloader/Retail/object_reidentification/face/mobilenet_based/dldt/face-reidentification-retail-0095.xml"));
DEFINE_string(m_reid, fp_reid, facial_landmarks_model_message);/// \brief target device for face detection <br>
DEFINE_string(d, "CPU", target_device_message);/// \brief target device for AgeGender net <br>
DEFINE_string(d_ag, "CPU", target_device_message_ag);/// \brief target device for HeadPose net <br>
DEFINE_string(d_hp, "CPU", target_device_message_hp);/// \brief target device for Emotions net <br>
DEFINE_string(d_em, "CPU", target_device_message_em);/// \brief target device for Facial Landmarks net <br>
DEFINE_string(d_lm, "CPU", target_device_message_lm);/// \brief target device for Facial Landmarks net <br>
DEFINE_string(d_reid, "CPU", target_device_message_lm);/// \brief maximum batch size for AgeGender net <br>
DEFINE_uint32(n_ag, 16, num_batch_ag_message);/// \brief enable dynamic batch size for AgeGender net <br>
DEFINE_bool(dyn_ag, false, dyn_batch_ag_message);/// \brief maximum batch size for HeadPose net <br>
DEFINE_uint32(n_hp, 16, num_batch_hp_message);/// \brief enable dynamic batch size for HeadPose net <br>
DEFINE_bool(dyn_hp, false, dyn_batch_hp_message);/// \brief maximum batch size for Emotions net <br>
DEFINE_uint32(n_em, 16, num_batch_em_message);/// \brief enable dynamic batch size for Emotions net <br>
DEFINE_bool(dyn_em, false, dyn_batch_em_message);/// \brief maximum batch size for Facial Landmarks net <br>
DEFINE_uint32(n_lm, 16, num_batch_em_message);/// \brief enable dynamic batch size for Facial Landmarks net <br>
DEFINE_bool(dyn_lm, false, dyn_batch_em_message);/// \brief enable per-layer performance report <br>
DEFINE_bool(pc, false, performance_counter_message);/// @brief clDNN custom kernels path <br>
/// Default is ./lib
DEFINE_string(c, "", custom_cldnn_message);/// @brief Absolute path to CPU library with user layers <br>
/// It is a optional parameter
DEFINE_string(l, "", custom_cpu_library_message);/// \brief Flag to output raw scoring results<br>
/// It is an optional parameter
DEFINE_bool(r, false, raw_output_message);/// \brief Flag to output raw scoring results<br>
/// It is an optional parameter
DEFINE_double(t, 0.5, thresh_output_message);/// \brief Flag to disable keypress exit<br>
/// It is an optional parameter
DEFINE_bool(no_wait, false, no_wait_for_keypress_message);/// \brief Flag to disable processed video showing<br>
/// It is an optional parameter
DEFINE_bool(no_show, false, no_show_processed_video);/// \brief Flag to enable driver recognition from database
/// It is an optional parameter
DEFINE_bool(d_recognition, false, drecog_message);/// \brief Flag to enable aynchronous execution<br>
/// It is an optional parameter
DEFINE_bool(async, false, async_message);///CustomDEFINE_bool(dlib_lm, false, "Acti");DEFINE_string(fg, "", "Path to gallery");DEFINE_bool(cover, false, "Acti");/**
* \brief This function shows a help message
*/static void showUsage() {std::cout << std::endl;std::cout << "interactive_face_detection [OPTION]" << std::endl;std::cout << "Options:" << std::endl;std::cout << std::endl;std::cout << "    -h                         " << help_message << std::endl;std::cout << "    -i \"<path>\"                " << video_message << std::endl;std::cout << "    -m \"<path>\"                " << face_detection_model_message<< std::endl;std::cout << "    -m_ag \"<path>\"             " << age_gender_model_message << std::endl;std::cout << "    -m_hp \"<path>\"             " << head_pose_model_message << std::endl;std::cout << "    -m_em \"<path>\"             " << emotions_model_message << std::endl;std::cout << "    -m_lm \"<path>\"             " << facial_landmarks_model_message << std::endl;std::cout << "      -l \"<absolute_path>\"     " << custom_cpu_library_message << std::endl;std::cout << "          Or" << std::endl;std::cout << "      -c \"<absolute_path>\"     " << custom_cldnn_message << std::endl;std::cout << "    -d \"<device>\"              " << target_device_message << std::endl;std::cout << "    -d_ag \"<device>\"           " << target_device_message_ag << std::endl;std::cout << "    -d_hp \"<device>\"           " << target_device_message_hp << std::endl;std::cout << "    -d_em \"<device>\"           " << target_device_message_em << std::endl;std::cout << "    -d_lm \"<device>\"           " << target_device_message_lm << std::endl;std::cout << "    -n_ag \"<num>\"              " << num_batch_ag_message << std::endl;std::cout << "    -n_hp \"<num>\"              " << num_batch_hp_message << std::endl;std::cout << "    -n_em \"<num>\"              " << num_batch_em_message << std::endl;std::cout << "    -n_lm \"<num>\"              " << num_batch_lm_message << std::endl;std::cout << "    -dyn_ag                    " << dyn_batch_ag_message << std::endl;std::cout << "    -dyn_hp                    " << dyn_batch_hp_message << std::endl;std::cout << "    -dyn_em                    " << dyn_batch_em_message << std::endl;std::cout << "    -dyn_lm                    " << dyn_batch_lm_message << std::endl;std::cout << "    -dlib_lm                   " << dlib_lm_message << std::endl;std::cout << "    -async                     " << async_message << std::endl;std::cout << "    -no_wait                   " << no_wait_for_keypress_message << std::endl;std::cout << "    -no_show                   " << no_show_processed_video << std::endl;std::cout << "    -pc                        " << performance_counter_message << std::endl;std::cout << "    -r                         " << raw_output_message << std::endl;std::cout << "    -t                         " << thresh_output_message << std::endl;std::cout << "    -cover                     " << cover_message << std::endl;
}

3.最后在调用文件中，

#include "customflags.hpp"

引用相关变量时，需要加上 FLAGS_,比如以上定义的-cover，引用时为 FLAGS_cover

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